Iterative today added an experiment versioning capability to an open source platform for managing machine learning operations (MLOps) using GitOps workflows. Dmitry Petrov, Iterative CEO, said the latest version of the Data Versioning Control (DVC) platform makes it simpler to save, compare and reproduce machine learning (ML) experiments at scale without requiring organizations to set […]
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Source: DevOps.com